The Effects of Orientations on the Room's Thermal Performance in the Tropics

Article Preview

Abstract:

Thermal performance of terrace house in Malaysia very much depends on the spatial design due to limited responsive environment factors. Building orientation is one of the important responsive factors under design consideration. The main concerns of the opening’s orientation are solar radiation and wind. In Malaysia, the maximum amount of solar radiation directly affects the thermal performance and thus the orientation of the window should be designed in the way to minimize solar gain and maximize natural ventilation. This paper investigates the effect of building orientation on the thermal performance of the residential room with solar chimney. The case study house facing north was located at Kuching, Sarawak, Malaysia. The field measurement was conducted in the case study house compound on 16 may 2012 to obtain the boundaries condition for CFD (Computational Fluid Dynamic) simulation. Four cardinal orientations were selected to investigate the thermal performance via CFD in DesignBuilder. The results show that the south facing window could maintain the lowest air temperature in the indoor environment with mean air temperature of 31.78°C and air mean velocity 0.023m/s with 35°C extreme outdoor temperature and zero wind velocity.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

631-636

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Z.M. Gill, M.J. Tierney, I.M. Pegg, N. Allan. Measured energy and water performance of an aspiring low energy/ carbon affordable housing site in the UK. Energy and Buildings. 2011; 43(1): 117-25.

DOI: 10.1016/j.enbuild.2010.08.025

Google Scholar

[2] K. King, J. Goodwin, N. Passant, N. Brophy, I. Tsagatakis. Local and Regional CO2 Emissions Estimates for 2005-2006 for the UK. UK: AEA Report to DEFRA, (2008).

Google Scholar

[3] A.M. Abdul Rahman, N.S.A. Rahim, K. Al-Obaidi, M. Ismail, L.Y. Mui. Rethinking the Malaysian Affordable Housing Design typology in View of Global Warming Considerations. Journal of Sustainable Development. 2013; 6(7): 134-46.

DOI: 10.5539/jsd.v6n7p134

Google Scholar

[4] N. Al-Tamimi, S.F.S. Fadzil, W.M.W. Harun. The Effects of Orientation, Ventilation and Varied WWR on the Thermal Performance of Residential Rooms in the Tropics. Journal of Sustainable Development. 2011; 4(2): 142-9.

DOI: 10.5539/jsd.v4n2p142

Google Scholar

[5] Y.X. Zhu, B.R. Lin. Sustainable housing and urban construction in China. Energy and Buildings. 2004; 36(12): 1287-97.

DOI: 10.1016/j.enbuild.2003.11.007

Google Scholar

[6] R. Thomas, T. Granham. The environments of architecture: Environmental design in context. Great Britain: Taylor and Francis; (2007).

Google Scholar

[7] B. Givoni. Passive and Low Energy Cooling of Buildings. New York: International Thomson Publishing ITP; (1994).

Google Scholar

[8] J.C. Lam, D.H.W. Li. An analysis of daylighting and solar heat for cooling-dominated office buildings. Solar Energy. 1999; 65(4): 251-62.

DOI: 10.1016/s0038-092x(98)00136-4

Google Scholar

[9] DesignBuilder. Energyplus: U.S. Department of Energy; 2013 [cited 2013 28 November 2013]. Available from: http: /www. designbuilder. co. uk/content/view/29/44.

Google Scholar

[10] M.Z.I. Bangalee, J.J. Miau, S.Y. Lin. Computational techniques and a numerical study of a buoyancy-driven ventilation system. International Journal of Heat and Mass Transfer. 2013; 65(0): 572-83.

DOI: 10.1016/j.ijheatmasstransfer.2013.06.040

Google Scholar

[11] G. Evola, V. Popov. Computational analysis of wind driven natural ventilation in buildings. Energy and Buildings. 2006; 38(5): 491-501.

DOI: 10.1016/j.enbuild.2005.08.008

Google Scholar

[12] M. Baharvand, M.H. Ahmad, T. Safikhani, R.B.A. Majid. DesignBuilder Verification and Validation for Indoor Natural Ventilation. JBasic Appl Sci Res. 2013; 3(4): 182-9.

Google Scholar

[13] DesignBuilder. An Inter-program Analysis of Computational Fluid Dynamics Based on PHOENICS and DesignBuilder Software. Newcastle: Northumbria University, 2012 Contract No.: NE18ST.

Google Scholar

[14] Meterological Department, Malaysia. Records of Meterological Data, Kuching. Kuching Station. Kuching, Sarawak (2012).

DOI: 10.5704/moj.1203.003

Google Scholar